Exploring a Tobacco Data Set with a Multiblock PLS Method

Author(s): Myrtille Vivien, Robert Sabatier.

Journal Name: Current Analytical Chemistry

Volume 8 , Issue 2 , 2012

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In chemistry, multiblock datasets are easily encountered with variables of different natures, or measured at different times for example, here, we use the sequential multiblock regression method GOMCIA-PLS1 to predict quantitative variables from several predictors gathered according to their nature and used simultaneously. In this article, it will be applied to predict a chemical variable from Near Infrared Spectrometry (NIRS) chemical and thermolyze data measured on different tobacco samples. The multiblock GOMCIA-PLS1 method is compared to other methods and its good performances are shown.

Keywords: GOMCIA-PLS, Multiblock PLS, Multivariate data analysis, Regression

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Article Details

Year: 2012
Page: [273 - 282]
Pages: 10
DOI: 10.2174/157341112800392643
Price: $58

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